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Grant: Discovery Grants Program - Individual

Toronto Metropolitan University

$26,000.00

Decision Support for Urban Water Management - Enhanced Technology Design, Modelling and Optimization Approaches for Collection Systems

FY 2024-25

Summary
As demands placed upon urban drainage systems continue to increase due to growth in urban areas, climate change and aging infrastructure, decentralized solutions are increasingly sought. However, the lessons learned over the years of the large stock of existing infrastructure, and opportunities for their design improvements and retrofit options are frequently overlooked. In addition, the modelling tools have not kept pace with technological advancements, including the increasing options for systemwide monitoring and control - the `smart water systems'. The proposed research will address some of these issues by optimizing the design of the Etobicoke Exfiltration System, a technology identified through past monitoring to present a potential for better performance, using a combination of physical and numerical modelling and integration into existing stormwater modelling tool. Techniques for low-cost, widespread monitoring of sewer systems will be developed, along with analytical tools that take advantage of vastly increased volume of measurements of system performance in continuous identification and quantification of detrimental extraneous flows. Necessary modifications to stormwater management models will be developed to allow evaluation of distributed monitoring and control, along with optimization methodologies, leading to the development of design guidance for smart stormwater systems. The outputs of this research are meant to address some of the key gaps perceived to currently exist in the methodologies for urban drainage modelling and optimization.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2019-05608
Name nom
Joksimovic, Darko
Department département
Civil Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2019
Award amount
26000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
1005
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Hydraulic engineering
Research subject fr
Génie hydraulique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Decision Support for Urban Water Management - Enhanced Technology Design, Modelling and Optimization Approaches for Collection Systems
Keywords
urban water; stormwater management; monitoring; modelling; decision support; activelly controlled infrastructure; planning; hydraulics; exfiltration sytems; sewer sensors
Application summary
As demands placed upon urban drainage systems continue to increase due to growth in urban areas, climate change and aging infrastructure, decentralized solutions are increasingly sought. However, the lessons learned over the years of the large stock of existing infrastructure, and opportunities for their design improvements and retrofit options are frequently overlooked. In addition, the modelling tools have not kept pace with technological advancements, including the increasing options for systemwide monitoring and control - the `smart water systems'. The proposed research will address some of these issues by optimizing the design of the Etobicoke Exfiltration System, a technology identified through past monitoring to present a potential for better performance, using a combination of physical and numerical modelling and integration into existing stormwater modelling tool. Techniques for low-cost, widespread monitoring of sewer systems will be developed, along with analytical tools that take advantage of vastly increased volume of measurements of system performance in continuous identification and quantification of detrimental extraneous flows. Necessary modifications to stormwater management models will be developed to allow evaluation of distributed monitoring and control, along with optimization methodologies, leading to the development of design guidance for smart stormwater systems. The outputs of this research are meant to address some of the key gaps perceived to currently exist in the methodologies for urban drainage modelling and optimization.